



'''simple docstring'''



from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCAmelCase_  :							Tuple             =    logging.get_logger(__name__)

lowerCAmelCase_  :							int             =    {
    'google/vit-base-patch16-224': 'https://huggingface.co/vit-base-patch16-224/resolve/main/config.json',
    # See all ViT models at https://huggingface.co/models?filter=vit
}
class 						lowerCamelCase_				(       snake_case_      ):
						_lowerCAmelCase  : List[Any]						  =					'vit'







						def __init__(	self :   Dict					,     lowerCAmelCase__ :   Any=7_68					,     lowerCAmelCase__ :   Any=12					,     lowerCAmelCase__ :   Any=12					,     lowerCAmelCase__ :   Optional[Any]=30_72					,     lowerCAmelCase__ :   Union[str, Any]="gelu"					,     lowerCAmelCase__ :   Optional[int]=0.0					,     lowerCAmelCase__ :   Dict=0.0					,     lowerCAmelCase__ :   int=0.02					,     lowerCAmelCase__ :   Optional[int]=1e-12					,     lowerCAmelCase__ :   Any=2_24					,     lowerCAmelCase__ :   Tuple=16					,     lowerCAmelCase__ :   Tuple=3					,     lowerCAmelCase__ :   Optional[int]=True					,     lowerCAmelCase__ :   Optional[Any]=16					,     **lowerCAmelCase__ :   Optional[int]					,     ):

													"""simple docstring"""
													super().__init__(**lowerCAmelCase__					)

													SCREAMING_SNAKE_CASE       :   Tuple         =      hidden_size
													SCREAMING_SNAKE_CASE       :   List[Any]         =      num_hidden_layers
													SCREAMING_SNAKE_CASE       :   Tuple         =      num_attention_heads
													SCREAMING_SNAKE_CASE       :   List[str]         =      intermediate_size
													SCREAMING_SNAKE_CASE       :   Tuple         =      hidden_act
													SCREAMING_SNAKE_CASE       :   List[Any]         =      hidden_dropout_prob
													SCREAMING_SNAKE_CASE       :   Dict         =      attention_probs_dropout_prob
													SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      initializer_range
													SCREAMING_SNAKE_CASE       :   Tuple         =      layer_norm_eps
													SCREAMING_SNAKE_CASE       :   Dict         =      image_size
													SCREAMING_SNAKE_CASE       :   Optional[Any]         =      patch_size
													SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      num_channels
													SCREAMING_SNAKE_CASE       :   List[Any]         =      qkv_bias
													SCREAMING_SNAKE_CASE       :   str         =      encoder_stride


class 						lowerCamelCase_				(       snake_case_      ):
						_lowerCAmelCase  : List[str]						  =					version.parse('1.11'      )







						@property
						def        __lowercase     (	self :   int					):

													"""simple docstring"""
													return OrderedDict(
													    [
													        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
													    ]					)







						@property
						def        __lowercase     (	self :   str					):

													"""simple docstring"""
													return 1e-4









'''simple docstring'''



from __future__ import annotations
def        UpperCAmelCase (    A	:					list[int]       ,		A	:					int					):
							if len(A					) < k or k < 0:
														raise ValueError('''Invalid Input'''					)
							SCREAMING_SNAKE_CASE       :   Dict         =      sum(array[:k]					)
							for i in range(len(A					) - k					):
														SCREAMING_SNAKE_CASE       :   Optional[Any]         =      current_sum - array[i] + array[i + k]
														SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      max(A       ,		A					)
							return max_sum


if __name__ == "__main__":
							from doctest import testmod
							from random import randint

							testmod()
							lowerCAmelCase_  :							Optional[int]             =    [randint(-1000, 1000) for i in range(100)]
							lowerCAmelCase_  :							Optional[int]             =    randint(0, 110)
							print(f'The maximum sum of {k} consecutive elements is {max_sum_in_array(array,k)}')




